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Nose extends the unittest library to make testing easier.
Kiwi is an efficient C++ implementation of the Cassowary constraint solving algorithm. Kiwi has been designed from the ground up to be lightweight and fast. Kiwi ranges from 10x to 500x faster than the original Cassowary solver with typical use cases gaining a 40x improvement. Memory savings are consistently > 5x.
attrs is a Python package with class decorators that ease the chores of implementing the most common attribute-related object protocols.
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.
Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4. It aims to provide selecting, matching, and filtering using modern CSS selectors. Soup Sieve currently provides selectors from the CSS level 1 specifications up through the latest CSS level 4 drafts and beyond (though some are not yet implemented).
This package is a backport of the functools module from Python 3.2.3 for use with older versions of Python and PyPy.
Thin-wrapper around the mock package for easier use with pytest
ScientificPython is a collection of Python modules that are useful for scientific computing. Most modules are rather general (Geometry, physical units, automatic derivatives, ...) whereas others are more domain-specific (e.g. netCDF and PDB support). The library is currently not actively maintained and works only with Python 2 and NumPy < 1.9.
Enum34 is the new Python stdlib enum module available in Python 3.4 backported for previous versions of Python from 2.4 to 3.3.
Six is a Python 2 and 3 compatibility library. It provides utility functions for smoothing over the differences between the Python versions with the goal of writing Python code that is compatible on both Python versions. Six supports every Python version since 2.5. It is contained in only one Python file, so it can be easily copied into your project.
This Python library allows reading and writing to the Excel XLSX, XLSM, XLTX and XLTM file formats that are defined by the Office Open XML (OOXML) standard.
The linecache module allows one to get any line from any file, while attempting to optimize internally, using a cache, the common case where many lines are read from a single file.
Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language. It makes writing C extensions for Python as easy as Python itself.
Coverage measures code coverage, typically during test execution. It uses the code analysis tools and tracing hooks provided in the Python standard library to determine which lines are executable, and which have been executed.
importlib_metadata is a library which provides an API for accessing an installed Python package's metadata, such as its entry points or its top-level name. This functionality intends to replace most uses of pkg_resources entry point API and metadata API. Along with importlib.resources in Python 3.7 and newer, this can eliminate the need to use the older and less efficient pkg_resources package.
This is a backport of the subprocess standard library module from Python 3.2 and 3.3 for use on Python 2. It includes bugfixes and some new features. On POSIX systems it is guaranteed to be reliable when used in threaded applications. It includes timeout support from Python 3.3 but otherwise matches 3.2’s API.
The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.
The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt.
The SciPy library is one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.
This Python library provides functions for converting between Julian dates and Gregorian dates.
Qt is a cross-platform application and UI framework for developers using C++ or QML, a CSS & JavaScript like language.
The Georgia Tech Network Simulator (GTNets) is designed to allow network researchers to conduct simulation-based experiments to observe the behavior of moderate to large scale computer networks under a variety of conditions. The GTNets environment allows the creation of simulation network topologies (consisting of nodes and their associated communication links), and end–user applications describing the flow of data over the simulated topology.
SimGrid is a scientific instrument to study the behavior of large-scale distributed systems such as grids, "clouds", HPC, and P2P systems. It can be used to evaluate heuristics, prototype applications or even assess legacy MPI applications.
R is a language and environment for statistical computing and graphics. It provides a variety of statistical techniques, such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification and clustering. It also provides robust support for producing publication-quality data plots. A large amount of 3rd-party packages are available, greatly increasing its breadth and scope.